
#1
Mar1205, 03:06 PM

P: 260

I can't get a good intuitive grasp on this set. Folland defines it as follows:
1) I don't see how the set can be uncountable if any initial segment is countable. 2) How do we know that the element x_{0} used in the proof exists? 



#2
Mar1205, 05:10 PM

Emeritus
Sci Advisor
PF Gold
P: 16,101

If you want an analogy, consider the first infinite ordinal, [itex]\omega[/itex]. While it is an infinite ordinal, but every initial segment is finite... if you can understand this, you should be able to understand the first uncountable ordinal.
x_{0} exists because ordinals are well ordered. Any collection of ordinals has a smallest element. 



#3
Mar1305, 02:59 PM

Sci Advisor
HW Helper
P: 9,421

Did you understand Hurkyl's response to your question?
I.e. either you meant to ask: why does it follow logically that the statements given are true? (which is an immediate consequence of their definitions and of logic) or you meant to ask: "I understand the proof, but how can this be possible?" Hurkyl answered the second version of your question. rereading, it seems your question 1) was the psychological one, and your 2) was a (tauto)logical one. ah yes, you said you wanted an intuitive grasp of the set, so Hurkyl understood you correctly. 



#4
Mar1505, 12:28 AM

P: 260

set of countable ordinals
Thanks Hurkyl  after reading your response, I went back and checked. Turns out my understanding of wellordering was incorrect; I now get the logic. The analogy gave me food for thought, so I will think on it for now and see if I can persuade myself that it works.



Register to reply 
Related Discussions  
A metric space having a countable dense subset has a countable base.  Calculus & Beyond Homework  2  
Countable But Not Second Countable Topological Space  General Math  3  
extending ordinals  Set Theory, Logic, Probability, Statistics  2  
Ordinals  set of rv'd functions on any interval in R and cardinality  Set Theory, Logic, Probability, Statistics  7  
Do the ordinals form a set?  Set Theory, Logic, Probability, Statistics  2 